Classifications

• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06F—ELECTRIC DIGITAL DATA PROCESSING
  • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
  • G06F7/02—Comparing digital values
• • H—ELECTRICITY
  • H03—ELECTRONIC CIRCUITRY
  • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
  • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
  • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
• • H—ELECTRICITY
  • H03—ELECTRONIC CIRCUITRY
  • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
  • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
  • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
  • H03M7/3059—Digital compression and data reduction techniques where the original information is represented by a subset or similar information, e.g. lossy compression
• • H—ELECTRICITY
  • H03—ELECTRONIC CIRCUITRY
  • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
  • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
  • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
  • H03M7/3059—Digital compression and data reduction techniques where the original information is represented by a subset or similar information, e.g. lossy compression
  • H03M7/3062—Compressive sampling or sensing
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06F—ELECTRIC DIGITAL DATA PROCESSING
  • G06F2207/00—Indexing scheme relating to methods or arrangements for processing data by operating upon the order or content of the data handled
  • G06F2207/02—Indexing scheme relating to groups G06F7/02 - G06F7/026

Definitions

• FIG. 11 A is a functional block diagram illustrating an aggregator used within the BAN of FIG 3.
• FIG. 1 IB is a functional block diagram illustrating an aggregator used within the BAN of FIG 3 for a plurality of sub-bands.
• FIG. 13 illustrates samples of a reconstructed signal.
• FIG. 17 illustrates an example of speech data reconstructed at an aggregator.
• FIG. 19 illustrates an example of resulting variances in the PC A coefficients obtained from the reconstructed ECG segments at an aggregator.
• the term w is associated with the width of the Gaussian kernel.
• Each row of the matrix W can be normalized such that its L 2 -norm is equal to 1.
• FIG. 6B is a functional block diagram illustrating an aspect of a sensor 600b for use within the BAN 300 illustrated in FIG. 3 for an analog signal x(t) having a plurality of sub-bands.
• the sensor 600b may comprise any of the sensors 302-308 discussed above with respect to FIG. 3.
• the sensor 600b may be implemented as a wireless device, for example as a wireless device 202 illustrated in FIG. 2.
• the sensor 600b may be used to communicate with the aggregator 310.
• the sensor 600b may be used to sense biomedical information.
• the set of the quantized tread and the determined value of a point is referred to as a measurement of that point or a measurement at that point.
• the quantization module 654 is configured to quantize the tread based on an elapsed time since a previous measurement. Measurements from the quantization module 654 may be packetized and stored by a packetization and storing module 658.
• the packetization and storing module 658 may be implemented as at least two separate modules, for example as a packetization module and a separate storing module.
• the packetization and storing module 658 may be configured to packetize and/or store measurements similar to the packetization module 612 and the storing module 614 described with respect to FIG. 6A.
• the discarding module 618 and the transmitting module 616 are configured as described with respect to FIG. 6A.
• FIG. IOC illustrates an aspect of a method 1000c for processing a discrete signal x(n).
• the method may be implemented by the sensor 600c, for example. Although the method below will be described with respect to elements of the sensor 600c, those of skill in the art will appreciate that other components may be used to implement one or more of the steps described herein.
• a reconstructed signal, or data indicative thereof, stored in the buffer module 1106 may be rendered by a rendering module 1116.
• the rendering 1116 module may be configured to render a visual representation of the signal, for example for display on a display device, or may be configured to perform other post-processing. Those of skill in the art will appreciate further processing that the rendering module 1116 may be configured to perform.
• the aggregator 1100b may comprise a receiving module 1122 used to receive a plurality of sub-bands of measurements, for example from one of the sensors 600a-600d.
• the receiving module 1122 may otherwise be configured similar to the receiving module 1102 in FIG. 11 A.
• FIG. 11B a plurality of receiving modules may be implemented in the aggregator 1100b.
• a separate receiving module 1122 may be used to receive each respective sub-band of measurements.
• a signal is reconstructed from each sub-band by a reconstructing module 1104.
• the modules 1104, 1106, 1108, 1110, 1112, and 1114, and 1116 are configured as described above with respect to FIG. 11 A.
• the set K post is refined by ignoring the identified extrema points that are close to the measurements received as part of the received data K.
• spurious extrema can be discarded based on a comparison with a corresponding received measurement, for example using the discarding module 1112.
• a wireless device may thus include appropriate components (e.g., air interfaces) to establish and communicate via one or more wireless communication links using the above or other wireless communication technologies.
• a device may comprise a wireless transceiver with associated transmitter and receiver components (e.g., transmitter 210 and receiver 212) that may include various components (e.g., signal generators and signal processors) that facilitate communication over a wireless medium.

Landscapes

• Theoretical Computer Science (AREA)
• Engineering & Computer Science (AREA)
• General Physics & Mathematics (AREA)
• Physics & Mathematics (AREA)
• Mathematical Optimization (AREA)
• Mathematical Analysis (AREA)
• Computational Mathematics (AREA)
• Pure & Applied Mathematics (AREA)
• General Engineering & Computer Science (AREA)
• Arrangements For Transmission Of Measured Signals (AREA)
• Mobile Radio Communication Systems (AREA)
• Compression, Expansion, Code Conversion, And Decoders (AREA)
• Measuring And Recording Apparatus For Diagnosis (AREA)

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• 2010
  • 2010-12-17 US US12/972,005 patent/US9075446B2/en not_active Expired - Fee Related
• 2011
  • 2011-03-15 JP JP2013500164A patent/JP5745026B2/ja not_active Expired - Fee Related
  • 2011-03-15 KR KR1020127026885A patent/KR20130006662A/ko active Application Filing
  • 2011-03-15 WO PCT/US2011/028556 patent/WO2011116018A1/en active Application Filing
  • 2011-03-15 EP EP11710961A patent/EP2548307A1/en not_active Withdrawn
  • 2011-03-15 CN CN201180013922.0A patent/CN102812644B/zh not_active Expired - Fee Related
  • 2011-03-15 KR KR1020157030266A patent/KR101612096B1/ko not_active IP Right Cessation
• 2014
  • 2014-09-16 US US14/487,898 patent/US9658825B2/en not_active Expired - Fee Related
• 2015
  • 2015-02-27 JP JP2015038804A patent/JP6038981B2/ja not_active Expired - Fee Related

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